qmixpois: Inverse CDF/Quantile function for mixed-Poisson distribution
In jlivsey/LatentGaussCounts: Integer-valued Time Series Models based on Gaussian Copula
Description
Usage
Arguments
Value
View source: R/mixed_poission_distribution_functions.R
Description
Inverse CDF/Quantile function for mixed-Poisson distribution
Usage
1
qmixpois(y, p, lam1, lam2)
Arguments
y
evaluation point (or vector)
p
mixing probability
lam1
mean of first component
lam2
mean of second component
Value
quantile function at y with specified parameters
jlivsey/LatentGaussCounts documentation built on May 1, 2020, 6:16 a.m.
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Description Usage Arguments Value
View source: R/mixed_poission_distribution_functions.R
Description
Inverse CDF/Quantile function for mixed-Poisson distribution
Usage
1 | qmixpois(y, p, lam1, lam2)
|
Arguments
y |
evaluation point (or vector) |
p |
mixing probability |
lam1 |
mean of first component |
lam2 |
mean of second component |
Value
quantile function at y with specified parameters
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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